Comparison

SigNoz vs Weights and Biases Weave

A like-for-like, spec-level comparison. Both entries are verified against their docs and repo.

SigNoz

Open-source OpenTelemetry observability.

  • + Unified app and LLM tracing on OTel
  • + Fully self-hosted, no vendor lock-in
  • − LLM evals via OpenLLMetry, not native
  • − More ops to run than a SaaS

Weights and Biases Weave

LLM tracing and eval inside W&B.

  • + Integrates with existing W&B experiment tracking
  • + Good for ML teams already on W&B
  • − Most useful only if you already use W&B
  • − Proprietary
Spec SigNoz Weights and Biases Weave
Category eval-observability eval-observability
License MIT Proprietary
Open source Yes No
Self-hostable Yes No
MCP support No No
Pricing freemium freemium
Starting price Self-host free Free tier
Models multi multi
Languages go, typescript python, typescript
GitHub stars 27.5k
Last activity 2026-06-25